The reciprocal relationships between autonomous motivation, social cognitive beliefs and rehabilitation adherence: A cross-lagged panel longitudinal study among post-surgery ACL reconstructed patients

自主动机、社会认知信念和康复依从性之间的相互关系:一项针对ACL重建术后患者的交叉滞后面板纵向研究

阅读:3

Abstract

OBJECTIVE: The objective of this three-wave longitudinal study was to investigate the temporal precedence between the motivational drivers in self-determination theory (SDT) and the social cognitive factors in theory of planned behaviour (TPB). METHOD: A total of 236 patients who underwent anterior cruciate ligament (ACL) reconstruction surgery (M(age) = 33.58 ± 10.03, range = 18 to 59; female = 46.2%) completed surveys assessing autonomous motivation from SDT, and attitude, subjective norms, perceived behavioural control (PBC), and intention from TPB, and rehabilitation adherence, at baseline (T1), and at 2 months (T2) and 4 months (T3) post-baseline. RESULTS: In a three-wave cross-lagged panel model, autonomous motivation prospectively related to subsequent attitude, subjective norms and PBC, whereas reverse paths were generally small; attitude showed a modest reciprocal link with autonomous motivation. Additionally, a mediation model revealed that T1 autonomous motivation had significant indirect effects on T3 rehabilitation adherence via T2 social cognitive factors and intention, whereas only T1 subjective norms had small indirect effects on T3 rehabilitation adherence through T2 autonomous motivation and intention. CONCLUSIONS: These findings support the notion that autonomous motivation precedes social cognitive factors, as proposed in the integrated theoretical model of SDT and TPB. Future research, including experimental interventions, can use the integrated theoretical model to promote various health behaviours, such as rehabilitation protocols, healthy eating habits and hygiene practices.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。